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Data Profiling provides data characteristics for the columns in a synonym. You can display the characteristics for all the columns in a synonym or segment, or for an individual column.
Note: Data Profiling is not available if your adapter is not configured correctly. For more information about configuring the adapter, see Accessing Data and Creating Synonyms.
For alphanumeric columns, Data Profiling provides the segment, format, count of distinct values, total count, patterns count, maximum, minimum, average length, minimum and maximum values, and number of nulls. Patterns count shows the number of patterns found in each alphanumeric column.
For numeric columns, Data Profiling provides the segment, format, count of distinct values, total count, maximum, minimum, average values, and number of nulls.
Data Profiling for an individual column provides access to Statistics, Patterns, Values, and Outliers reports.
How to: |
Data Profiling provides information on all the columns in a synonym or segment. You can also drill down to the Values or Patterns reports for an individual column from a synonym or segment Data Profiling report.
To view the Data Profiling information for a synonym or segment:
The Synonym Editor opens to the Field View tab.
The Data Profiling information displays in the workspace.
You may use the Data Profiling Results toolbar to view server messages, print the report, copy data as text, and export the report.
This is a partial Values report produced by clicking a column name.
The image below is an example of an address column.
For pattern analysis, a 9 represents a digit, an A represents any uppercase letter, and an a represents any lowercase letter. All printable special characters are represented by themselves, and unprintable characters are represented by an X.
How to: |
Data Profiling for an individual column provides access to four reports:
For alphanumeric columns, the Statistics report provides the segment, format, count of distinct values, total count, patterns count, maximum, minimum, average length, minimum and maximum values, and number of nulls.
For numeric columns, the Statistics report provides the segment, format, count of distinct values, total count, maximum, minimum, average values, and number of nulls.
These reports are available by right-clicking a column in the Synonym Editor and selecting Data Profiling, as shown in the following image.
To view the Statistical Data Profiling information for a single column:
The Synonym Editor opens to the Field View tab.
The Statistical Data Profiling information displays in the workspace, as shown in the following image.
Data Profile Patterns shows patterns of letters, digits, and special characters, as well as counts and their percentages.
To view the Patterns Data Profiling information for a single column:
The Synonym Editor opens to the Field View tab.
The Patterns Data Profiling information displays in the workspace.
For pattern analysis, a 9 represents a digit, an A represents any uppercase letter, and an a represents any lowercase letter. All printable special characters are represented by themselves, and unprintable characters are represented by an X.
Data Profile Values shows unique values.
To view the Values Data Profiling information for a single column:
The Synonym Editor opens to the Field View tab.
The Values Data Profiling information displays.
The Data Profile Values Graph shows
The Synonym Editor opens to the Field View tab.
The Values Graph Data Profiling information displays.
Data Profile Duplicate Values shows identical values.
To view the Duplicate Values Data Profiling information for a single column:
The Synonym Editor opens to the Field View tab.
The Duplicate Values Data Profiling information displays.
Data Profile Outliers shows the 10 highest and 10 lowest distinct values.
To view the Outliers Data Profiling information for a single column:
The Synonym Editor opens to the Field View tab.
The Outliers Data Profiling information displays.
Note: Outliers produce a maximum of 10 highest and 10 lowest distinct values, if they exist.
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